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+### import ####################################################################
+
+
+import os
+
+import matplotlib
+import matplotlib.pyplot as plt
+matplotlib.rcParams['font.size'] = 14
+
+import WrightTools as wt
+
+
+### define ####################################################################
+
+
+gd_path = wt.kit.get_path_matching('Google Drive')
+directory = os.path.dirname(__file__)
+
+cmap = wt.artists.colormaps['signed']
+
+
+### process ###################################################################
+
+
+if True:
+ fig, gs = wt.artists.create_figure(nrows=3, cols=[1, 1, 'cbar'],
+ default_aspect=0.5, width='double')
+ def get_vmin_vmax(zi):
+ extent = max(zi.max(), -zi.min())
+ return -extent, extent
+ def plot(data, col_index, name='name'):
+ # raw
+ ax = plt.subplot(gs[0, col_index])
+ xi = data.axes[1].points
+ yi = data.axes[0].points
+ zi = data.channels[0].values
+ X, Y, Z = wt.artists.pcolor_helper(xi, yi, zi)
+ vmin, vmax = get_vmin_vmax(zi)
+ ax.pcolor(xi, yi, zi, vmin=vmin, vmax=vmax, cmap=cmap)
+ ax.axhline(0, lw=1, c='k')
+ ax.set_xlim(xi.min(), xi.max())
+ ax.set_ylim(yi.min(), yi.max())
+ ax.set_title(name, fontsize=18)
+ wt.artists.corner_text('raw', ax=ax, fontsize=18)
+ # leveled
+ ax = plt.subplot(gs[1, col_index])
+ data.level(0, 'd2', -3)
+ xi = data.axes[1].points
+ yi = data.axes[0].points
+ zi = data.channels[0].values
+ X, Y, Z = wt.artists.pcolor_helper(xi, yi, zi)
+ ax.pcolor(xi, yi, zi, vmin=vmin, vmax=vmax, cmap=cmap)
+ ax.axhline(0, lw=1, c='k')
+ ax.set_xlim(xi.min(), xi.max())
+ ax.set_ylim(yi.min(), yi.max())
+ wt.artists.corner_text('leveled', ax=ax, fontsize=18)
+ # smoothed
+ ax = plt.subplot(gs[2, col_index])
+ data.smooth(2)
+ xi = data.axes[1].points
+ yi = data.axes[0].points
+ zi = data.channels[0].values
+ X, Y, Z = wt.artists.pcolor_helper(xi, yi, zi)
+ ax.pcolor(xi, yi, zi, vmin=vmin, vmax=vmax, cmap=cmap)
+ ax.axhline(0, lw=1, c='k')
+ ax.set_xlim(xi.min(), xi.max())
+ ax.set_ylim(yi.min(), yi.max())
+ wt.artists.corner_text('smoothed', ax=ax, fontsize=18)
+ # single
+ p = os.path.join(directory, 'SCAN [wmw1, d2] 2016.05.30 11_50_06 single', 'SCAN [wmw1, d2] 2016.05.30 11_50_06 single.data')
+ data = wt.data.from_PyCMDS(p)
+ data.transpose()
+ data.bring_to_front('signal_diff')
+ data.channels[0].values *= -1
+ plot(data, 0, name='single')
+ # dual
+ p = os.path.join(directory, 'SCAN [wmw1, d2] 2016.05.30 13_32_42 dual', 'SCAN [wmw1, d2] 2016.05.30 13_32_42 dual.data')
+ data = wt.data.from_PyCMDS(p)
+ data.transpose()
+ data.bring_to_front('signal_diff')
+ data.channels[0].values *= -1
+ plot(data, 1, name='dual')
+ # colorbar
+ cax = plt.subplot(gs[:, -1])
+ matplotlib.colorbar.ColorbarBase(cax, cmap=cmap, ticks=[-1, 0, 1])
+ # finish
+ plt.savefig('compare.png', dpi=300, transparent=True, pad_inches=1)
+ plt.close('fig')